- Company Name
- Tavus
- Job Title
- Solutions Engineer
- Job Description
-
Job title: Solutions Engineer
Role Summary:
Drive technical enablement for clients of an AI‑powered platform by understanding product internals, architecting integrations, troubleshooting production issues, and building developer resources. Act as a liaison between sales, customer success, and engineering to translate business needs into scalable technical solutions, enhance documentation, and automate repeatable processes.
Expectations:
- Collaborate with developers and decision‑makers to design and implement solutions that align with business objectives.
- Resolve API, webhook, and integration problems quickly, aiming for near‑zero resolution time.
- Identify root causes of recurring issues, improve documentation, and implement fixes in product or support flows.
- Produce sample code, tutorials, and tooling that streamline onboarding for new customers.
- Share best practices for scaling platform usage and help enterprise teams adopt industry‑standard deployment patterns.
Key Responsibilities:
- Deeply understand platform architecture, APIs, and SDKs to provide subject‑matter expertise.
- Conduct live demos and technical workshops for potential and existing customers.
- Debug and resolve production incidents, including payload parsing, auth, latency, and data consistency.
- Draft and maintain technical documentation, FAQs, and support playbooks.
- Automate repetitive manual tasks, create monitoring dashboards, and build development environments.
- Work closely with product and engineering to surface user‑reported bugs and suggest product improvements.
- Prioritize and manage multiple concurrent client engagements without compromising quality.
Required Skills:
- Proficient in JavaScript/TypeScript or Python; experience with REST/GraphQL APIs, webhooks, and debugging tools.
- Strong software development fundamentals: build, deploy, unit/test end‑to‑end applications.
- Excellent verbal and written communication; able to translate complex technical issues into clear explanations.
- Customer‑obsessed mindset focused on rapid, high‑quality problem resolution.
- Demonstrated ability to juggle multiple projects, stakeholders, and deadlines.
- Experience with AI/ML inference, conversational AI, or video processing APIs is a plus.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Software Engineering, or related technical field (or equivalent experience).
- No specific certifications required; familiarity with cloud platforms (AWS, GCP, Azure) is advantageous.